Educational Attainment in the Swan Township, Noble County, Indiana (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.421053%23.446913%32.421053%32.4%61655.947368%61.250120%55.947368%55.9%1,06311.631579%15.302968%11.631579%11.6%221
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Noble County at large.
Scope: population of Noble County and the Swan Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma238.274291%38.274291%+38.3%32.421%32.4%23.447%23.4%-8.657536%-8.657536%-8.7%55.947%55.9%61.250%61.3%-23.991350%-23.991350%-24.0%11.632%11.6%15.303%15.3%
% percentage with given level in the Swan Township
ref. percentage with given level in Noble County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.578947%0.305996%2.578947%2.6%491.315789%0.624741%1.315789%1.3%253.263158%3.404201%3.263158%3.3%6215.421053%9.810984%15.421053%15.4%2939.842105%9.300991%9.842105%9.8%18724.210526%20.176585%24.210526%24.2%46031.736842%41.073535%31.736842%31.7%6039.842105%9.329678%9.842105%9.8%1870.947368%5.240175%0.947368%0.9%180.842105%0.733114%0.842105%0.8%16
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Noble County at large.
Scope: population of Noble County and the Swan Township
-500%0%+500%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None742.805373%742.805373%+742.8%2.579%2.58%0.306%0.31%110.613588%110.613588%+110.6%1.316%1.32%0.625%0.62%-4.143209%-4.143209%-4.1%3.263%3.26%3.404%3.40%57.181509%57.181509%+57.2%15.421%15.4%9.811%9.81%5.817810%5.817810%+5.8%9.842%9.84%9.301%9.30%19.993182%19.993182%+20.0%24.211%24.2%20.177%20.2%-22.731651%-22.731651%-22.7%31.737%31.7%41.074%41.1%5.492439%5.492439%+5.5%9.842%9.84%9.330%9.33%-81.921053%-81.921053%-81.9%0.947%0.95%5.240%5.24%14.866819%14.866819%+14.9%0.842%0.84%0.733%0.73%
% percentage with given level in the Swan Township
ref. percentage with given level in Noble County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Noble County and the Swan Township
More Females More Males
Noble County
Swan Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-35.917266%-37.788143%-35.917266%36%37.279%37.3%27.428%27.4%37.334256%9.267348%37.334256%37%47.248%47.2%64.888%64.9%-101.357159%-101.357159%101%14.022873%15.472%15.5%7.684%7.68%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Noble County and the Swan Township
More Females More Males
Noble County
Swan Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%894.357151%1,000.000000%> 1000%0.000%0%5.229%5.23%-1,000.000000%-3.355147%-1,000.000000%> 1000%2.596%2.60%0.000%0%-16.858729%52.106724%52.106724%0k%2.596%2.60%3.949%3.95%-93.607349%-22.321447%-93.607349%0k%20.249%20.2%10.459%10.5%-51.948107%-82.818389%-51.948107%0k%11.838%11.8%7.791%7.79%23.428125%3.385861%23.428125%0k%21.703%21.7%26.788%26.8%49.148814%12.281120%49.148814%0k%25.545%25.5%38.100%38.1%-139.646552%-139.646552%0k%7.389998%13.811%13.8%5.763%5.76%1,000.000000%19.940858%1,000.000000%> 1000%0.000%0%1.921%1.92%-1,000.000000%-1,000.000000%> 1000%72.238288%1.661%1.66%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%4.854227%040819.944598%9.946673%19.944598%19.9%1447225.319149%11.111111%5.319149%5.3%1528227.459016%14.223670%27.459016%27.5%134488
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Noble County at large.
Scope: population of Noble County and the Swan Township
100%50%0%50%100%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%4.854%4.85%100.515274%100.515274%100.5%19.945%19.9%9.947%9.95%-52.127660%-52.127660%52.1%5.319%5.32%11.111%11.1%93.051558%93.051558%93.1%27.459%27.5%14.224%14.2%
% percentage in the Swan Township with a Bachelor's degree
ref percentage in Noble County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Noble County and the Swan Township
More Females More Males
Noble County
Swan Township
1,000%500%0%FM45-6435-4425-34-6.779672%125.182708%125.182708%125.2%12.399%12.4%27.920%27.9%-1,000.000000%-61.582755%-1,000.000000%> 1000%15.957%16.0%0.000%0%-1,000.000000%-86.968757%-1,000.000000%> 1000%46.367%46.4%0.000%0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$41,913.000000$41,296.000000$41,913.000000$41.9k29315.421%15.4%$36,406.000000$32,913.000000$36,406.000000$36.4k64734.053%34.1%$39,293.000000$29,919.000000$39,293.000000$39.3k60331.737%31.7%$17,305.000000$25,475.000000$17,305.000000$17.3k22111.632%11.6%$40,547.000000$32,605.000000$40,547.000000$40.5k1,900100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-40,842.000000$-33,990.000000$-40,842.000000$40.8k$40,842.000000$13,846.000000$33,990.000000$21,171.000000$54,688.000000$54.7k19598$-31,339.000000$-25,571.000000$-31,339.000000$31.3k$31,339.000000$9,494.000000$25,571.000000$16,082.000000$40,833.000000$40.8k323324$-16,350.000000$-22,396.000000$-16,350.000000$16.4k$16,350.000000$27,059.000000$22,396.000000$14,811.000000$43,409.000000$43.4k246357$-31,295.000000$-24,653.000000$-31,295.000000$31.3k$31,295.000000$14,018.000000$24,653.000000$15,985.000000$45,313.000000$45.3k963937
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma376.807980%82.932757%76.807980%76.8%30884.189723%79.029939%84.189723%84.2%42650.585480%73.990461%50.585480%50.6%21629.746835%56.897477%29.746835%29.7%47
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%MFWhite1Other1-7.903403%-7.981459%-11.624708%-15.884861%15.9%7.903403%11.624708%1.055653%7.903403%7.9%72149-0.000000%-28.474576%0.000000%0.0%0.000000%0.000000%28.474576%18.914982%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Other1-20.197585%-5.921818%-14.229867%-1.742069%-26.119403%26.1%20.197585%14.229867%20.197585%20.2%184245-0.000000%-1.204819%-1.846028%0.000000%0.0%0.000000%0.000000%1.204819%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Kendallville Area

There are 13 county subdivisions in the Kendallville Area. This section compares the Swan Township to all of the county subdivisions in the Kendallville Area and to those entities that contain or substantially overlap with the Swan Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
0%10%20%30%Count#Perry TownshipPerryElkhart TownshipElkhartSparta TownshipSpartaKendallville Metro AreaKendallvilleNoble CountyNobleOrange TownshipOrangeUnited States of AmericaUnited StatesWayne TownshipWayneAlbion TownshipAlbionEast Noble School CorporationEast NobleJefferson TownshipJeffersonIndianaSwan TownshipAllen TownshipAllen972500Tract 972500East North CentralWashington TownshipWashingtonMidwestNoble TownshipNobleGreen TownshipGrnYork Township34.754012%34.754012%34.8%1,321124.854227%24.854227%24.9%341218.909513%18.909513%18.9%326315.302968%15.302968%15.3%4,80115.302968%15.302968%15.3%4,80114.422018%14.422018%14.4%393413.020590%13.020590%13.0%27,818,38027.8M12.873563%12.873563%12.9%896512.694013%12.694013%12.7%229612.096216%12.096216%12.1%1,92112.033582%12.033582%12.0%129711.923855%11.923855%11.9%517,458517k11.631579%11.631579%11.6%221810.967464%10.967464%11.0%509910.925450%10.925450%10.9%51010.719464%10.719464%10.7%3,363,7843.36M10.398860%10.398860%10.4%731010.244520%10.244520%10.2%4,641,8354.64M8.245949%8.245949%8.2%173117.854785%7.854785%7.9%119126.704438%6.704438%6.7%7113
Count number of people in category
# rank of county subdivision out of 13 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralIndianaSwan TownshipOrange TownshipOrange972500Tract 972500Sparta TownshipSpartaEast Noble School CorporationEast NobleWayne TownshipWayneAllen TownshipAllenJefferson TownshipJeffersonKendallville Metro AreaKendallvilleNoble CountyNobleWashington TownshipWashingtonGreen TownshipGrnElkhart TownshipElkhartAlbion TownshipAlbionYork TownshipNoble TownshipNoblePerry TownshipPerry30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M24.611498%24.611498%24.6%1,068,0621.07M22.578947%22.578947%22.6%429119.302752%19.302752%19.3%526218.551842%18.551842%18.6%86618.155452%18.155452%18.2%313318.002645%18.002645%18.0%2,85916.853448%16.853448%16.9%1,173416.311140%16.311140%16.3%757516.231343%16.231343%16.2%174614.145922%14.145922%14.1%4,43814.145922%14.145922%14.1%4,43812.962963%12.962963%13.0%91712.343234%12.343234%12.3%187811.078717%11.078717%11.1%152910.532151%10.532151%10.5%190109.537299%9.537299%9.5%101118.674929%8.674929%8.7%182124.288345%4.288345%4.3%16313
Count number of people in category
# rank of county subdivision out of 13 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
0%1%2%3%Count#Swan TownshipUnited States of AmericaUnited StatesMidwestEast North CentralIndiana972500Tract 972500Elkhart TownshipElkhartEast Noble School CorporationEast NobleOrange TownshipOrangeSparta TownshipSpartaAllen TownshipAllenKendallville Metro AreaKendallvilleNoble CountyNobleAlbion TownshipAlbionJefferson TownshipJeffersonWayne TownshipWayneGreen TownshipGrnNoble TownshipNoblePerry TownshipPerryYork TownshipWashington TownshipWashington3.894737%3.894737%3.9%7413.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.359248%2.359248%2.4%102,384102k1.692374%1.692374%1.7%791.311953%1.311953%1.3%1821.309741%1.309741%1.3%2081.247706%1.247706%1.2%3431.044084%1.044084%1.0%1840.948072%0.948072%0.9%4450.930737%0.930737%0.9%2920.930737%0.930737%0.9%2920.886918%0.886918%0.9%1660.839552%0.839552%0.8%970.804598%0.804598%0.8%5680.660066%0.660066%0.7%1090.619638%0.619638%0.6%13100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%013
Count number of people in category
# rank of county subdivision out of 13 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
Female
Male
2x0x2x4xFM#WashingtonJeffersonGrnAlbionYork TownshipSpartaOrangeNobleWayneKendallvilleNobleMidwestEast North CentralUnited StatesIndianaPerryEast NobleTract 972500ElkhartAllenSwan Township-1.000000x-1.000000x4.940543x4.940543x4.94x3.468%3.47%17.135%17.1%1-1.000000x-1.000000x3.297391x3.297391x3.30x5.274%5.27%17.391%17.4%2-1.000000x-1.000000x2.322029x2.322029x2.32x4.397%4.40%10.211%10.2%3-1.000000x-1.000000x1.966180x1.966180x1.97x8.581%8.58%16.872%16.9%4-1.000000x-1.000000x1.708432x1.708432x1.71x4.982%4.98%8.511%8.51%5-1.000000x-1.000000x1.570163x1.570163x1.57x14.802%14.8%23.242%23.2%6-1.000000x-1.000000x1.278181x1.278181x1.28x12.721%12.7%16.260%16.3%7-1.000000x-1.000000x1.171400x1.171400x1.17x7.597%7.60%8.900%8.90%8-1.000000x-1.000000x1.162107x1.162107x1.16x11.968%12.0%13.908%13.9%9-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.026079x1.026079x1.03x34.287%34.3%35.181%35.2%10-1.058123x-1.058123x1.06x1.000000x1.000000x12.417%12.4%11.735%11.7%-1.136022x-1.136022x1.14x1.000000x1.000000x11.619%11.6%10.228%10.2%-1.211217x-1.211217x1.21x1.000000x1.000000x27.194%27.2%22.452%22.5%11-1.374076x-1.374076x1.37x1.000000x1.000000x12.555%12.6%9.137%9.14%12-2.013572x-2.013572x2.01x1.000000x1.000000x15.472%15.5%7.684%7.68%13
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 13 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
Female
Male
10x5x0x5x10xFM#NobleGrnOrangeAllenTract 972500East NobleSwan TownshipKendallvilleNobleIndianaEast North CentralMidwestUnited StatesWayneSpartaElkhartAlbionJefferson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.244%1.24%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.110%1.11%2-1.000000x-1.000000x3.000424x3.000424x3.00x0.636%0.64%1.908%1.91%3-1.000000x-1.000000x2.748501x2.748501x2.75x0.523%0.52%1.438%1.44%4-1.000000x-1.000000x2.172995x2.172995x2.17x1.068%1.07%2.321%2.32%-1.000000x-1.000000x2.129523x2.129523x2.13x0.856%0.86%1.822%1.82%-1.000000x-1.000000x2.014386x2.014386x2.01x2.596%2.60%5.229%5.23%5-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.415508x1.415508x1.42x0.674%0.67%0.954%0.95%6-1.000000x-1.000000x1.054827x1.054827x1.05x1.017%1.02%1.073%1.07%7-1.000000x-1.000000x1.026588x1.026588x1.03x1.295%1.29%1.329%1.33%8-2.166117x-2.166117x2.17x1.000000x1.000000x1.210%1.21%0.559%0.56%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.899%1.90%0.000%0%10
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 10 by male-to-female sex ratio

Educational Attainment by County Subdivision in Indiana

There are 1,012 county subdivisions in Indiana. This section compares the Swan Township to the 50 most populous county subdivisions in Indiana and to those entities that contain or substantially overlap with the Swan Township. The least populous of the compared county subdivisions has a population of 32,697.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
0%5%10%15%20%Count#Center TownshipCtrConcord TownshipConcordWayne TownshipWayneElkhart TownshipElkhartPortage TownshipPortageWayne TownshipWayneWayne TownshipWayneNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarrenKendallville Metro AreaKendallvilleNoble CountyNobleAdams TownshipAdamsHobart TownshipHobartAnderson TownshipAndersonCalumet TownshipCalumetPerry TownshipPerryCenter TownshipCtrDecatur TownshipDecaturNew Albany TownshipNew AlbanyCenter TownshipCtrUnited States of AmericaUnited StatesJeffersonville TownshipJeffersonvilleFairfield TownshipFairfieldEast Noble School CorporationEast NobleIndianaWashington TownshipWashingtonSwan TownshipPenn TownshipWea TownshipPortage TownshipPortage972500Tract 972500East North CentralKnight TownshipKnightMidwestLawrence TownshipLawrencePike TownshipRoss TownshipClay TownshipColumbus TownshipColumbusPleasant TownshipPleasantBloomington TownshipBloomingtonCenter TownshipCtrFranklin TownshipFranklinSt. Joseph TownshipSt. JosephWashington TownshipWashingtonWabash TownshipWabashNoblesville TownshipNoblesvilleSt. John TownshipSt. JohnPerry TownshipPerryWashington TownshipWashingtonOhio TownshipWhite River TownshipWhite RivCenter TownshipCtrWashington TownshipWashingtonFall Creek TownshipFall CrkDelaware TownshipDelawareAboite TownshipAboiteClay Township23.165532%23.165532%23.2%22,92622.9k121.816299%21.816299%21.8%7,584221.037720%21.037720%21.0%18,48918.5k321.001088%21.001088%21.0%5,018419.418924%19.418924%19.4%10,54710.5k518.195035%18.195035%18.2%5,006617.532152%17.532152%17.5%11,56011.6k717.062713%17.062713%17.1%17,39117.4k815.973269%15.973269%16.0%4,876915.481486%15.481486%15.5%10,30210.3k1015.302968%15.302968%15.3%4,80115.302968%15.302968%15.3%4,80115.213692%15.213692%15.2%3,1291115.089946%15.089946%15.1%4,0181214.786671%14.786671%14.8%5,5071314.467691%14.467691%14.5%9,5291414.326632%14.326632%14.3%10,55410.6k1514.176197%14.176197%14.2%4,4751613.599622%13.599622%13.6%2,8771713.529737%13.529737%13.5%4,6431813.471419%13.471419%13.5%5,0341913.020590%13.020590%13.0%27,818,38027.8M13.003477%13.003477%13.0%5,4982012.444341%12.444341%12.4%4,2762112.096216%12.096216%12.1%1,92111.923855%11.923855%11.9%517,458517k11.655058%11.655058%11.7%2,9452211.631579%11.631579%11.6%22111.623484%11.623484%11.6%5,1952311.557160%11.557160%11.6%2,4012411.495287%11.495287%11.5%3,7072510.925450%10.925450%10.9%51010.719464%10.719464%10.7%3,363,7843.36M10.287806%10.287806%10.3%4,7222610.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161279.909467%9.909467%9.9%5,035289.596081%9.596081%9.6%3,193299.305117%9.305117%9.3%2,093309.026455%9.026455%9.0%2,890318.654557%8.654557%8.7%3,159328.319071%8.319071%8.3%1,361337.616061%7.616061%7.6%2,113347.113476%7.113476%7.1%2,473357.107130%7.107130%7.1%3,467366.804680%6.804680%6.8%6,403376.335308%6.335308%6.3%1,476386.187687%6.187687%6.2%2,197395.972798%5.972798%6.0%2,793405.962782%5.962782%6.0%1,945415.826158%5.826158%5.8%1,793425.604955%5.604955%5.6%1,475435.183872%5.183872%5.2%1,521445.023085%5.023085%5.0%1,447454.507433%4.507433%4.5%1,040463.059982%3.059982%3.1%1,081472.923599%2.923599%2.9%680482.546689%2.546689%2.5%630492.265751%2.265751%2.3%1,37350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
0%20%40%60%Count#Clay TownshipFall Creek TownshipFall CrkWabash TownshipWabashDelaware TownshipDelawarePerry TownshipPerryWashington TownshipWashingtonBloomington TownshipBloomingtonWashington TownshipWashingtonAboite TownshipAboiteWhite River TownshipWhite RivNoblesville TownshipNoblesvilleClay TownshipCenter TownshipCtrWashington TownshipWashingtonPike TownshipLawrence TownshipLawrenceColumbus TownshipColumbusOhio TownshipFranklin TownshipFranklinSt. Joseph TownshipSt. JosephSt. John TownshipSt. JohnCenter TownshipCtrUnited States of AmericaUnited StatesMidwestEast North CentralFairfield TownshipFairfieldPleasant TownshipPleasantWea TownshipWashington TownshipWashingtonIndianaPerry TownshipPerryPenn TownshipKnight TownshipKnightRoss TownshipNew Albany TownshipNew AlbanySwan TownshipElkhart TownshipElkhartPortage TownshipPortageCenter TownshipCtrCenter TownshipCtrNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarren972500Tract 972500Jeffersonville TownshipJeffersonvilleEast Noble School CorporationEast NobleWayne TownshipWayneWayne TownshipWayneWayne TownshipWaynePortage TownshipPortageHobart TownshipHobartDecatur TownshipDecaturAnderson TownshipAndersonAdams TownshipAdamsCenter TownshipCtrKendallville Metro AreaKendallvilleNoble CountyNobleConcord TownshipConcordCalumet TownshipCalumet68.328988%68.328988%68.3%41,40641.4k165.318312%65.318312%65.3%23,07523.1k261.284230%61.284230%61.3%14,27814.3k356.851111%56.851111%56.9%13,22313.2k455.639351%55.639351%55.6%18,14918.1k553.478091%53.478091%53.5%12,33912.3k653.202934%53.202934%53.2%8,704750.610540%50.610540%50.6%47,62347.6k850.044466%50.044466%50.0%12,38012.4k942.452541%42.452541%42.5%12,45612.5k1042.333690%42.333690%42.3%15,03115.0k1139.376695%39.376695%39.4%8,8571239.368903%39.368903%39.4%11,34111.3k1338.953696%38.953696%39.0%11,98812.0k1437.193466%37.193466%37.2%18,89818.9k1536.577273%36.577273%36.6%29,32429.3k1635.515507%35.515507%35.5%11,37111.4k1734.397325%34.397325%34.4%9,0521834.336258%34.336258%34.3%11,93711.9k1931.579271%31.579271%31.6%15,40515.4k2031.570506%31.570506%31.6%14,76314.8k2130.875144%30.875144%30.9%8,5662230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.099357%26.099357%26.1%8,9682325.634914%25.634914%25.6%9,3572424.837545%24.837545%24.8%5,1602524.738800%24.738800%24.7%6,2512624.611498%24.611498%24.6%1,068,0621.07M24.563237%24.563237%24.6%18,09518.1k2724.367924%24.367924%24.4%10,89110.9k2823.643217%23.643217%23.6%10,85210.9k2923.381619%23.381619%23.4%7,7803023.320803%23.320803%23.3%8,0033122.578947%22.578947%22.6%42922.511928%22.511928%22.5%5,3793221.836393%21.836393%21.8%11,86011.9k3321.823485%21.823485%21.8%8,1553420.139240%20.139240%20.1%19,93119.9k3519.650916%19.650916%19.7%20,02920.0k3619.262268%19.262268%19.3%5,8803719.034023%19.034023%19.0%12,66612.7k3818.551842%18.551842%18.6%86618.228046%18.228046%18.2%7,7073918.002645%18.002645%18.0%2,85917.915858%17.915858%17.9%11,81311.8k4016.897467%16.897467%16.9%4,6494116.826535%16.826535%16.8%14,78814.8k4215.836641%15.836641%15.8%5,1074315.364104%15.364104%15.4%4,0914415.140629%15.140629%15.1%3,2034514.996107%14.996107%15.0%5,5854614.654544%14.654544%14.7%3,0144714.280736%14.280736%14.3%4,5084814.145922%14.145922%14.1%4,43814.145922%14.145922%14.1%4,43813.804908%13.804908%13.8%4,7994913.054172%13.054172%13.1%8,59850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
0%5%10%Count#Wabash TownshipWabashClay TownshipPerry TownshipPerryFall Creek TownshipFall CrkBloomington TownshipBloomingtonWashington TownshipWashingtonClay TownshipAboite TownshipAboiteWashington TownshipWashingtonCenter TownshipCtrDelaware TownshipDelawarePike TownshipOhio TownshipSwan TownshipNoblesville TownshipNoblesvilleUnited States of AmericaUnited StatesWhite River TownshipWhite RivPortage TownshipPortageLawrence TownshipLawrenceMidwestEast North CentralSt. Joseph TownshipSt. JosephCenter TownshipCtrCenter TownshipCtrSt. John TownshipSt. JohnFairfield TownshipFairfieldCenter TownshipCtrColumbus TownshipColumbusFranklin TownshipFranklinIndianaPerry TownshipPerryKnight TownshipKnightElkhart TownshipElkhartHarrison TownshipHarrisonWashington TownshipWashingtonWayne TownshipWayneWashington TownshipWashington972500Tract 972500New Albany TownshipNew AlbanyNorth TownshipNPenn TownshipJeffersonville TownshipJeffersonvilleWea TownshipRoss TownshipEast Noble School CorporationEast NoblePortage TownshipPortageWayne TownshipWayneAnderson TownshipAndersonWayne TownshipWaynePleasant TownshipPleasantCenter TownshipCtrKendallville Metro AreaKendallvilleNoble CountyNobleConcord TownshipConcordAdams TownshipAdamsWarren TownshipWarrenCalumet TownshipCalumetHobart TownshipHobartDecatur TownshipDecatur14.996995%14.996995%15.0%3,494110.452490%10.452490%10.5%6,334210.377387%10.377387%10.4%3,38538.741189%8.741189%8.7%3,08848.068460%8.068460%8.1%1,32057.306290%7.306290%7.3%6,87566.704308%6.704308%6.7%1,50876.269707%6.269707%6.3%1,55185.209552%5.209552%5.2%1,20295.016142%5.016142%5.0%1,445104.965820%4.965820%5.0%1,155114.833694%4.833694%4.8%2,456123.921569%3.921569%3.9%1,032133.894737%3.894737%3.9%743.393793%3.393793%3.4%1,205143.336158%3.336158%3.3%7,127,6737.13M3.220749%3.220749%3.2%945153.122641%3.122641%3.1%1,696163.083448%3.083448%3.1%2,472172.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.830962%2.830962%2.8%1,381182.676086%2.676086%2.7%1,000192.602914%2.602914%2.6%2,576202.564048%2.564048%2.6%1,199212.482466%2.482466%2.5%853222.454585%2.454585%2.5%681232.401849%2.401849%2.4%769242.384582%2.384582%2.4%829252.359248%2.359248%2.4%102,384102k2.212660%2.212660%2.2%1,630262.146016%2.146016%2.1%985272.105131%2.105131%2.1%503282.083470%2.083470%2.1%636292.043867%2.043867%2.0%629301.879112%1.879112%1.9%517311.800697%1.800697%1.8%455321.692374%1.692374%1.7%791.690124%1.690124%1.7%580331.575684%1.575684%1.6%1,606341.557256%1.557256%1.6%696351.506587%1.506587%1.5%637361.448857%1.448857%1.4%301371.412514%1.412514%1.4%470381.309741%1.309741%1.3%2081.305507%1.305507%1.3%421391.183365%1.183365%1.2%1,040401.146524%1.146524%1.1%427411.143533%1.143533%1.1%754421.021890%1.021890%1.0%373430.953527%0.953527%1.0%301440.930737%0.930737%0.9%2920.930737%0.930737%0.9%2920.917642%0.917642%0.9%319450.875188%0.875188%0.9%180460.840046%0.840046%0.8%559470.816835%0.816835%0.8%538480.811207%0.811207%0.8%216490.581423%0.581423%0.6%12350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
Female
Male
2x1x0x1xFM#NoblesvilleWabashCtrWea TownshipAdamsWarrenFranklinElkhartSt. JosephWashingtonWayneClay TownshipPerryLawrenceCalumetPenn TownshipJeffersonvilleOhio TownshipKendallvilleNoblePike TownshipWayneMidwestPerryEast North CentralUnited StatesRoss TownshipIndianaNBloomingtonWashingtonKnightPortageAndersonHobartDecaturWashingtonCtrCtrWaynePortageWashingtonConcordNew AlbanyEast NobleCtrFairfieldAboiteColumbusPleasantSt. JohnTract 972500DelawareHarrisonCtrWhite RivClay TownshipFall CrkSwan Township-1.000000x-1.000000x1.368916x1.368916x1.37x5.278%5.28%7.225%7.22%1-1.000000x-1.000000x1.315975x1.315975x1.32x5.455%5.46%7.179%7.18%2-1.000000x-1.000000x1.268582x1.268582x1.27x12.634%12.6%16.027%16.0%3-1.000000x-1.000000x1.261563x1.261563x1.26x10.300%10.3%12.994%13.0%4-1.000000x-1.000000x1.243110x1.243110x1.24x13.682%13.7%17.008%17.0%5-1.000000x-1.000000x1.242727x1.242727x1.24x13.919%13.9%17.298%17.3%6-1.000000x-1.000000x1.229379x1.229379x1.23x6.415%6.42%7.887%7.89%7-1.000000x-1.000000x1.228271x1.228271x1.23x18.842%18.8%23.143%23.1%8-1.000000x-1.000000x1.222685x1.222685x1.22x6.437%6.44%7.871%7.87%9-1.000000x-1.000000x1.218680x1.218680x1.22x4.077%4.08%4.969%4.97%10-1.000000x-1.000000x1.199569x1.199569x1.20x15.997%16.0%19.190%19.2%11-1.000000x-1.000000x1.195034x1.195034x1.20x2.075%2.07%2.479%2.48%12-1.000000x-1.000000x1.184825x1.184825x1.18x13.166%13.2%15.600%15.6%13-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%14-1.000000x-1.000000x1.168789x1.168789x1.17x13.469%13.5%15.743%15.7%15-1.000000x-1.000000x1.164733x1.164733x1.16x10.782%10.8%12.558%12.6%16-1.000000x-1.000000x1.161888x1.161888x1.16x12.085%12.1%14.041%14.0%17-1.000000x-1.000000x1.151492x1.151492x1.15x5.223%5.22%6.014%6.01%18-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.134102x1.134102x1.13x9.351%9.35%10.605%10.6%19-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%20-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126339x1.126339x1.13x5.616%5.62%6.326%6.33%21-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106906x1.106906x1.11x9.131%9.13%10.107%10.1%22-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%23-1.000000x-1.000000x1.083251x1.083251x1.08x7.983%7.98%8.648%8.65%24-1.000000x-1.000000x1.081415x1.081415x1.08x11.208%11.2%12.121%12.1%25-1.000000x-1.000000x1.068180x1.068180x1.07x9.969%9.97%10.648%10.6%26-1.000000x-1.000000x1.056311x1.056311x1.06x18.916%18.9%19.981%20.0%27-1.000000x-1.000000x1.055380x1.055380x1.06x14.413%14.4%15.211%15.2%28-1.000000x-1.000000x1.049767x1.049767x1.05x14.731%14.7%15.464%15.5%29-1.000000x-1.000000x1.032740x1.032740x1.03x13.380%13.4%13.818%13.8%30-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%31-1.000000x-1.000000x1.010381x1.010381x1.01x13.405%13.4%13.544%13.5%32-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%33-1.011355x-1.011355x1.01x1.000000x1.000000x18.290%18.3%18.085%18.1%34-1.015833x-1.015833x1.02x1.000000x1.000000x11.580%11.6%11.399%11.4%35-1.022668x-1.022668x1.02x1.000000x1.000000x5.889%5.89%5.758%5.76%36-1.025563x-1.025563x1.03x1.000000x1.000000x22.081%22.1%21.530%21.5%37-1.038459x-1.038459x1.04x1.000000x1.000000x13.769%13.8%13.259%13.3%38-1.058123x-1.058123x1.06x1.000000x1.000000x12.417%12.4%11.735%11.7%-1.071041x-1.071041x1.07x1.000000x1.000000x5.189%5.19%4.845%4.84%39-1.089549x-1.089549x1.09x1.000000x1.000000x12.962%13.0%11.897%11.9%40-1.093153x-1.093153x1.09x1.000000x1.000000x2.650%2.65%2.424%2.42%41-1.099707x-1.099707x1.10x1.000000x1.000000x9.439%9.44%8.583%8.58%42-1.102703x-1.102703x1.10x1.000000x1.000000x9.045%9.05%8.203%8.20%43-1.112325x-1.112325x1.11x1.000000x1.000000x6.278%6.28%5.644%5.64%44-1.136022x-1.136022x1.14x1.000000x1.000000x11.619%11.6%10.228%10.2%-1.142082x-1.142082x1.14x1.000000x1.000000x3.107%3.11%2.720%2.72%45-1.170944x-1.170944x1.17x1.000000x1.000000x17.156%17.2%14.651%14.7%46-1.194691x-1.194691x1.19x1.000000x1.000000x8.269%8.27%6.921%6.92%47-1.236588x-1.236588x1.24x1.000000x1.000000x5.712%5.71%4.619%4.62%48-1.340641x-1.340641x1.34x1.000000x1.000000x10.604%10.6%7.910%7.91%49-1.421606x-1.421606x1.42x1.000000x1.000000x3.566%3.57%2.508%2.51%50-2.013572x-2.013572x2.01x1.000000x1.000000x15.472%15.5%7.684%7.68%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
Female
Male
0x2x4xFM#AdamsCtrConcordClay TownshipOhio TownshipAboiteAndersonTract 972500CtrEast NobleNWhite RivSwan TownshipSt. JosephClay TownshipCtrWabashColumbusWashingtonLawrenceSt. JohnWayneFranklinDecaturPenn TownshipKendallvilleNobleIndianaNew AlbanyPerryWashingtonKnightEast North CentralMidwestRoss TownshipUnited StatesPike TownshipPerryWayneFairfieldPortageNoblesvilleDelawareFall CrkWarrenWayneCtrBloomingtonPleasantElkhartJeffersonvilleHarrisonHobartWea TownshipPortageCalumetCtrWashingtonWashington-1.000000x-1.000000x5.217819x5.217819x5.22x0.297%0.30%1.552%1.55%1-1.000000x-1.000000x4.920548x4.920548x4.92x0.343%0.34%1.686%1.69%2-1.000000x-1.000000x4.308574x4.308574x4.31x0.354%0.35%1.527%1.53%3-1.000000x-1.000000x3.730733x3.730733x3.73x2.894%2.89%10.796%10.8%4-1.000000x-1.000000x2.941854x2.941854x2.94x2.023%2.02%5.951%5.95%5-1.000000x-1.000000x2.935012x2.935012x2.94x3.322%3.32%9.751%9.75%6-1.000000x-1.000000x2.902465x2.902465x2.90x0.606%0.61%1.760%1.76%7-1.000000x-1.000000x2.172995x2.172995x2.17x1.068%1.07%2.321%2.32%-1.000000x-1.000000x2.143087x2.143087x2.14x1.728%1.73%3.704%3.70%8-1.000000x-1.000000x2.129523x2.129523x2.13x0.856%0.86%1.822%1.82%-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%9-1.000000x-1.000000x2.098144x2.098144x2.10x2.104%2.10%4.415%4.41%10-1.000000x-1.000000x2.014386x2.014386x2.01x2.596%2.60%5.229%5.23%-1.000000x-1.000000x1.977884x1.977884x1.98x1.943%1.94%3.843%3.84%11-1.000000x-1.000000x1.973355x1.973355x1.97x7.159%7.16%14.128%14.1%12-1.000000x-1.000000x1.956253x1.956253x1.96x3.435%3.43%6.719%6.72%13-1.000000x-1.000000x1.928515x1.928515x1.93x10.174%10.2%19.620%19.6%14-1.000000x-1.000000x1.918490x1.918490x1.92x1.665%1.66%3.194%3.19%15-1.000000x-1.000000x1.906040x1.906040x1.91x3.625%3.63%6.910%6.91%16-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%17-1.000000x-1.000000x1.837195x1.837195x1.84x1.827%1.83%3.357%3.36%18-1.000000x-1.000000x1.820086x1.820086x1.82x1.362%1.36%2.478%2.48%19-1.000000x-1.000000x1.797904x1.797904x1.80x1.730%1.73%3.110%3.11%20-1.000000x-1.000000x1.787156x1.787156x1.79x0.417%0.42%0.745%0.75%21-1.000000x-1.000000x1.709561x1.709561x1.71x1.165%1.17%1.992%1.99%22-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.657824x1.657824x1.66x1.291%1.29%2.141%2.14%23-1.000000x-1.000000x1.654297x1.654297x1.65x7.864%7.86%13.009%13.0%24-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%25-1.000000x-1.000000x1.605585x1.605585x1.61x1.671%1.67%2.683%2.68%26-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.536785x1.536785x1.54x1.125%1.12%1.729%1.73%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518639x1.518639x1.52x3.926%3.93%5.963%5.96%28-1.000000x-1.000000x1.514015x1.514015x1.51x1.777%1.78%2.691%2.69%29-1.000000x-1.000000x1.497053x1.497053x1.50x0.923%0.92%1.382%1.38%30-1.000000x-1.000000x1.446563x1.446563x1.45x2.040%2.04%2.950%2.95%31-1.000000x-1.000000x1.417405x1.417405x1.42x2.609%2.61%3.697%3.70%32-1.000000x-1.000000x1.361506x1.361506x1.36x2.903%2.90%3.953%3.95%33-1.000000x-1.000000x1.354365x1.354365x1.35x4.251%4.25%5.758%5.76%34-1.000000x-1.000000x1.329765x1.329765x1.33x7.550%7.55%10.040%10.0%35-1.000000x-1.000000x1.317700x1.317700x1.32x0.732%0.73%0.965%0.97%36-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%37-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%38-1.000000x-1.000000x1.199873x1.199873x1.20x7.328%7.33%8.793%8.79%39-1.000000x-1.000000x1.199817x1.199817x1.20x0.935%0.94%1.122%1.12%40-1.000000x-1.000000x1.149524x1.149524x1.15x1.958%1.96%2.251%2.25%41-1.000000x-1.000000x1.147252x1.147252x1.15x1.409%1.41%1.617%1.62%42-1.000000x-1.000000x1.131803x1.131803x1.13x1.961%1.96%2.220%2.22%43-1.000000x-1.000000x1.103144x1.103144x1.10x0.772%0.77%0.852%0.85%44-1.000000x-1.000000x1.090487x1.090487x1.09x1.390%1.39%1.516%1.52%45-1.000000x-1.000000x1.050088x1.050088x1.05x1.276%1.28%1.340%1.34%46-1.064408x-1.064408x1.06x1.000000x1.000000x0.839%0.84%0.788%0.79%47-1.164720x-1.164720x1.16x1.000000x1.000000x2.635%2.64%2.262%2.26%48-1.189996x-1.189996x1.19x1.000000x1.000000x1.953%1.95%1.641%1.64%49-1.308468x-1.308468x1.31x1.000000x1.000000x2.305%2.31%1.762%1.76%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Swan Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Swan Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisKendallville Metro AreaKendallvilleNoble CountyNobleWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleEast Noble School CorporationEast NobleIndianaSwan TownshipColumbusMaine TownshipMaineTopekaMinneapolis972500Tract 972500Springfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.302968%15.302968%15.3%4,80115.302968%15.302968%15.3%4,80115.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752612.096216%12.096216%12.1%1,92111.923855%11.923855%11.9%517,458517k11.631579%11.631579%11.6%22111.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.925450%10.925450%10.9%51010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthIndianaMilwaukeeSwan TownshipRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThornton972500Tract 972500ToledoEast Noble School CorporationEast NobleDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipKendallville Metro AreaKendallvilleNoble CountyNobleDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.611498%24.611498%24.6%1,068,0621.07M23.517740%23.517740%23.5%85,81285.8k3622.578947%22.578947%22.6%42921.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.551842%18.551842%18.6%86618.048021%18.048021%18.0%33,17133.2k4218.002645%18.002645%18.0%2,85917.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.145922%14.145922%14.1%4,43814.145922%14.145922%14.1%4,43813.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineSwan TownshipPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaIndianaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthCleveland972500Tract 972500ToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitEast Noble School CorporationEast NobleDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraKendallville Metro AreaKendallvilleNoble CountyNobleThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.894737%3.894737%3.9%743.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.359248%2.359248%2.4%102,384102k2.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.692374%1.692374%1.7%791.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.309741%1.309741%1.3%2081.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.930737%0.930737%0.9%2920.930737%0.930737%0.9%2920.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
Female
Male
2x1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipKendallvilleNobleWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheIndianaWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborEast NobleSt. PaulLisleMinneapolisSterling HtsTract 972500Downers GrvMiltonMaineSwan Township-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.058123x-1.058123x1.06x1.000000x1.000000x12.417%12.4%11.735%11.7%-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.136022x-1.136022x1.14x1.000000x1.000000x11.619%11.6%10.228%10.2%-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50-2.013572x-2.013572x2.01x1.000000x1.000000x15.472%15.5%7.684%7.68%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
Female
Male
1x0x1x2xFM#Tract 972500East NobleRockfordNSwan TownshipDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkKendallvilleNobleMiltonIndianaGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.172995x2.172995x2.17x1.068%1.07%2.321%2.32%-1.000000x-1.000000x2.129523x2.129523x2.13x0.856%0.86%1.822%1.82%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x2.014386x2.014386x2.01x2.596%2.60%5.229%5.23%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Swan Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Swan Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasKendallville Metro AreaKendallvilleNoble CountyNoblePhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonEast Noble School CorporationEast NobleAlbuquerqueIndianaSwan TownshipTownship 1:Charlotte1, CharlotteColumbusTulsa972500Tract 972500East North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2515.302968%15.302968%15.3%4,80115.302968%15.302968%15.3%4,80114.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.096216%12.096216%12.1%1,92112.089143%12.089143%12.1%52,21752.2k3811.923855%11.923855%11.9%517,458517k11.631579%11.631579%11.6%22111.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.925450%10.925450%10.9%51010.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthIndianaSouthwest DallasSW DallasMilwaukeeSwan TownshipFresnoLas VegasEl PasoBronx972500Tract 972500East Noble School CorporationEast NobleSan BernardinoSan Antonio CentralSan Antonio CntrlKendallville Metro AreaKendallvilleNoble CountyNobleDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4124.611498%24.611498%24.6%1,068,0621.07M23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.578947%22.578947%22.6%42922.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.551842%18.551842%18.6%86618.002645%18.002645%18.0%2,85916.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.145922%14.145922%14.1%4,43814.145922%14.145922%14.1%4,43813.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiSwan TownshipNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyIndianaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW Dallas972500Tract 972500BronxDetroitEast Noble School CorporationEast NobleKendallville Metro AreaKendallvilleNoble CountyNoble12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.894737%3.894737%3.9%743.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.359248%2.359248%2.4%102,384102k2.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.692374%1.692374%1.7%791.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.309741%1.309741%1.3%2080.930737%0.930737%0.9%2920.930737%0.930737%0.9%292
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
Female
Male
2x1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasKendallvilleNobleMidwestFresnoEast North CentralMilwaukeeUnited StatesIndianaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastEast NobleSan JoseTract 972500San DiegoSan FranciscoEl PasoSwan Township-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.140229x1.140229x1.14x14.314%14.3%16.321%16.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.058123x-1.058123x1.06x1.000000x1.000000x12.417%12.4%11.735%11.7%-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.136022x-1.136022x1.14x1.000000x1.000000x11.619%11.6%10.228%10.2%-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-2.013572x-2.013572x2.01x1.000000x1.000000x15.472%15.5%7.684%7.68%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
Female
Male
1x0x1x2xFM#Tract 972500El PasoEast NobleSalt Lk CitySwan TownshipPlanoTulsaAlbuquerqueKendallvilleNobleNE DallasIndianaFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.172995x2.172995x2.17x1.068%1.07%2.321%2.32%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.129523x2.129523x2.13x0.856%0.86%1.822%1.82%-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x2.014386x2.014386x2.01x2.596%2.60%5.229%5.23%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.701940x1.701940x1.70x0.691%0.69%1.177%1.18%-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Indiana
County:
Noble
Metro Area:
Kendallville Area
ZIP Codes:
46710, 46723, 46748, 46763
Unified School District:
East Noble
Congressional District:
IN-3
State Senate District:
IN-13
State House District:
IN-82
Neighboring Towns:
Avilla
Neighboring Townships:
Allen, Butler, Eel River, Green, Jefferson, Keyser, Perry, Smith
Nearby Townships:
Albion, Jackson, Lake, Noble, Orange, Richland, Thorncreek, Washington, Wayne, York